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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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Near-Space TOPSAR Large-Scene Full-Aperture Imaging Scheme Based on Two-Step Processing.

Qianghui Zhang1, Junjie Wu2, Wenchao Li3

  • 1School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. qh_zhang09@163.com.

Sensors (Basel, Switzerland)
|July 30, 2016
PubMed
Summary

Near-space synthetic aperture radar (SAR) with Terrain Observation by Progressive Scans (TOPS) mode enables sustained large-scene imaging. This study proposes an efficient full-aperture imaging scheme for near-space TOPS-mode SAR (NS-TOPSAR) to overcome imaging challenges.

Keywords:
SARTOPSmodified two-step processingnear-space SARsustained large-scene imagingtwo-step processing

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Area of Science:

  • Remote Sensing
  • Geophysics
  • Radar Technology

Background:

  • Spaceborne and airborne SAR platforms face limitations in sustained large-scene imaging.
  • Near-space platforms offer advantages due to fewer constraints.
  • Terrain Observation by Progressive Scans (TOPS) is a wide-swath imaging mode suitable for large scenes.

Purpose of the Study:

  • To propose an efficient full-aperture imaging scheme for near-space TOPS-mode SAR (NS-TOPSAR).
  • To enable sustained large-scene imaging applications using NS-TOPSAR.

Main Methods:

  • Two-step processing (TSP) to eliminate Doppler aliasing.
  • Two-dimensional frequency domain (FD) focusing using Stolt interpolation.
  • Modified TSP (MTSP) to remove azimuth aliasing.

Main Results:

  • The proposed scheme effectively addresses Doppler and azimuth aliasing in NS-TOPSAR data.
  • Simulations validate the scheme's capability for near-space large-scene imaging.
  • The full-aperture imaging approach enhances imaging efficiency.

Conclusions:

  • The developed imaging scheme is efficient and valid for NS-TOPSAR.
  • This advancement supports sustained large-scene imaging applications.
  • NS-TOPSAR presents a promising solution for comprehensive Earth observation.